/*
 * Copyright (c) 2012-2013 Open Source Community - <http://www.peerfact.org>
 * Copyright (c) 2011-2012 University of Paderborn - UPB
 * Copyright (c) 2005-2011 KOM - Multimedia Communications Lab
 *
 * This file is part of PeerfactSim.KOM.
 * 
 * PeerfactSim.KOM is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * any later version.
 * 
 * PeerfactSim.KOM is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 * 
 * You should have received a copy of the GNU General Public License
 * along with PeerfactSim.KOM.  If not, see <http://www.gnu.org/licenses/>.
 *
 */

package org.peerfact.impl.service.aggregation;

import org.peerfact.api.service.aggr.AggregationResult;

/**
 * !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
 * This part of the Simulator is not maintained in the current version of
 * PeerfactSim.KOM. There is no intention of the authors to fix this
 * circumstances, since the changes needed are huge compared to overall benefit.
 * 
 * If you want it to work correctly, you are free to make the specific changes
 * and provide it to the community.
 * !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!!!!!!!!!!!!!!!!!!!!!!!!!!!
 * 
 * 
 * @author <info@peerfact.org>
 * @version 05/06/2011
 * 
 */
public class DefaultAggregationResult implements AggregationResult {

	double minimum;

	double maximum;

	double generalizedMean;

	double variance;

	int nodeCount;

	long minTime;

	long maxTime;

	long avgTime;

	public DefaultAggregationResult(double minimum, double maximum,
			double generalizedMean, double variance, int nodeCount,
			long minTime, long maxTime, long avgTime) {
		super();
		this.minimum = minimum;
		this.maximum = maximum;
		this.generalizedMean = generalizedMean;
		this.variance = variance;
		this.nodeCount = nodeCount;
		this.minTime = minTime;
		this.maxTime = maxTime;
		this.avgTime = avgTime;
	}

	@Override
	public double getMinimum() {
		return minimum;
	}

	@Override
	public double getMaximum() {
		return maximum;
	}

	@Override
	public double getAverage() {
		return generalizedMean;
	}

	@Override
	public double getVariance() {
		return variance;
	}

	@Override
	public int getNodeCount() {
		return nodeCount;
	}

	@Override
	public long getMinTime() {
		return minTime;
	}

	@Override
	public long getMaxTime() {
		return maxTime;
	}

	@Override
	public long getAvgTime() {
		return avgTime;
	}

}
